Sentence examples for dataset were considered as from inspiring English sources

Only target classes with 20 or more data points in the P. falciparum dataset were considered as suitable for testing due to a sufficient number of data points, resulting in a total of 16 target classes.

To avoid double-counting of patients, multiple publications considering the same population or dataset were considered as a single extraction.

For estimating the robustness, the p-values obtained from the full dataset were considered as standard of truth.

The same SHs in both datasets were interpreted as TPs, and the SHs only in the phase-known dataset were considered as false negatives (FNs).

False positives produced with FACS, BLAT and SSAHA2 according to the key from the synthetic dataset were considered as homologues, and thus correctly classified if the sequence produced 500 hits with E-values <10−50 using MEGABLAST.

Power-law regression fits significantly better when the dataset is split into quadrants compared to when the dataset is considered as a whole.

The rules are: A variable in a dataset is considered as a matching candidate if all key terms are found in its name or label.

If a BEM derived from a genomic dataset is considered as the incidence matrix of a bipartite network G, then nodes in the first set of G correspond to genes, and those in the second set correspond to samples.

These datasets were considered as "pseudo-empirical" datasets.

Datasets were considered as statistically significant when p<0.0001.

Compared datasets were considered as statistically significant when p<0.01 and p<0.0001.